nasgod01

/

nashk2

like 0

• "__torch__.torch.nn.modules.conv.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_18.Conv2d",
• "__torch__.torch.nn.modules.linear.Linear",
• "__torch__.torch.nn.modules.conv.___torch_mangle_24.Conv2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_4.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_3.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_19.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_17.Conv2d",
• "__torch__.model.mobilenet_v2.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_21.Conv2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_9.Sequential",
• "__torch__.torch.nn.modules.batchnorm.BatchNorm2d",
• "__torch__.torch.nn.modules.conv.___torch_mangle_15.Conv2d",
• "__torch__.torch.nn.modules.activation.GELU",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_25.BatchNorm2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_20.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_26.Sequential",
• "__torch__.model.mobilenet_v2.___torch_mangle_7.InvertedResidual",
• "collections.OrderedDict",
• "__torch__.model.mobilenet_v2.___torch_mangle_23.InvertedResidual",
• "__torch__.torch.nn.modules.dropout.Dropout",
• "torch.jit._pickle.build_intlist",
• "__torch__.torch.nn.modules.conv.___torch_mangle_0.Conv2d",
• "torch.FloatStorage",
• "__torch__.torch.nn.modules.container.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_1.Conv2d",
• "__torch__.model.mobilenet_v2.MobileNetV2",
• "__torch__.torch.nn.modules.container.___torch_mangle_22.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_5.Conv2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_14.InvertedResidual",
• "__torch__.torch.nn.modules.conv.___torch_mangle_8.Conv2d",
• "torch._utils._rebuild_tensor_v2",
• "torch.LongStorage",
• "__torch__.torch.nn.modules.conv.___torch_mangle_11.Conv2d",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_12.BatchNorm2d",
• "__torch__.model.mobilenet_v2.___torch_mangle_10.InvertedResidual",
• "__torch__.torch.nn.modules.container.___torch_mangle_13.Sequential",
• "__torch__.torch.nn.modules.container.___torch_mangle_6.Sequential",
• "__torch__.torch.nn.modules.batchnorm.___torch_mangle_16.BatchNorm2d",
• "__torch__.torch.nn.modules.container.___torch_mangle_27.Sequential",
• "__torch__.torch.nn.modules.conv.___torch_mangle_2.Conv2d"

How to fix it?